datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RoMo-SMPL
RoMo-SMPL — In-the-Wild SMPL Body Motion (RoMo Paper Core)
RoMo-SMPL is the paper-aligned release of the RoMo body motion corpus in SMPL body parameter space (global orientation, 21-joint body pose, shape, translation). Each clip includes five text captions and a three-level semantic taxonomy (category, subcategory, atomic action), with fixed train / val / test splits.
Paper: RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation… See the full description on the dataset page: https://huggingface.co/datasets/RoMoDataset/RoMo-SMPL.ViViD_SMPLXSMPLX-amass
Dataset Card for "SMPLX-amass"
More Information needed
eyesjapan-mocap-smplx
Robot Motion Application Previews
The examples below demonstrate how motion sequences from this dataset can be retargeted and applied to robotic motion, illustrating potential uses in humanoid-robot motion generation, control, and imitation learning.
Karate — Mawashi Geri
Low Kick — Left
Example demonstrations illustrating potential applications of the motion-capture sequences provided in this dataset to robotic motion.
Eyes, JAPAN MoCap NPZ… See the full description on the dataset page: https://huggingface.co/datasets/eyesjapan/eyesjapan-mocap-smplx.SynthMoCap_smpl_512https://github.com/microsoft/SynthMoCap
Rendered the SynthMoCap dataset as smpl.
smplxSynthMoCap_photo_to_smpl_512https://huggingface.co/datasets/toyxyz/SynthMoCap_smpl_512
smpl_train_seed42smpl_train_seed8smplsmu_counsel_smplSeamless-Avatar-Smplx-150h
Seamless Avatar SMPLX 150h Dataset
📊 Dataset Composition & Splits
The dataset is curated based on a total duration of 150 hours. The distribution is managed according to the following ratios:
Split Ratio:
Train: 60% (90 hours)
Dev: 20% (30 hours)
Test: 20% (30 hours)
Interaction Types:
Naturalistic: 2/3 of the total duration.
Improvised: 1/3 of the total duration.
🦴 SMPL_X Model Construction
Our SMPL_X data represents a high-fidelity full-body… See the full description on the dataset page: https://huggingface.co/datasets/xwshi/Seamless-Avatar-Smplx-150h.smu_counsel_smplsmu_counsel_smplsmu_counsel_smplsmu_counsel_smplsmu_counsel_smplsmu_counsel_smpl